activity
20192024
most citedThe Role of the Hercules Autonomous Vehicle During the COVID-19 Pandemic: An Autonomous Logistic Vehicle for Contactless Goods Transportation

61 citations · 105 across the 16 of their papers we have counts for

collaborators

16 papers

cs.RO2024

Efficient Camera Exposure Control for Visual Odometry via Deep Reinforcement Learning

Shuyang Zhang, Jinhao He, Yilong Zhu +2

The stability of visual odometry (VO) systems is undermined by degraded image quality, especially in environments with significant illumination changes. This study employs a deep r…

cs.RO2024

FusionPortableV2: A Unified Multi-Sensor Dataset for Generalized SLAM Across Diverse Platforms and Scalable Environments

Hexiang Wei, Jianhao Jiao, Xiangcheng Hu +7

Simultaneous Localization and Mapping (SLAM) technology has been widely applied in various robotic scenarios, from rescue operations to autonomous driving. However, the generalizat…

cs.RO2022★ 1 cited

FusionPortable: A Multi-Sensor Campus-Scene Dataset for Evaluation of Localization and Mapping Accuracy on Diverse Platforms

Jianhao Jiao, Hexiang Wei, Tianshuai Hu +10

Combining multiple sensors enables a robot to maximize its perceptual awareness of environments and enhance its robustness to external disturbance, crucial to robotic navigation. T…

cs.CV2021★ 1 cited

Comparing Representations in Tracking for Event Camera-based SLAM

Jianhao Jiao, Huaiyang Huang, Liang Li +3

This paper investigates two typical image-type representations for event camera-based tracking: time surface (TS) and event map (EM). Based on the original TS-based tracker, we mak…

cs.RO2021★ 2 cited

Greedy-Based Feature Selection for Efficient LiDAR SLAM

Jianhao Jiao, Yilong Zhu, Haoyang Ye +5

Modern LiDAR-SLAM (L-SLAM) systems have shown excellent results in large-scale, real-world scenarios. However, they commonly have a high latency due to the expensive data associati…

cs.RO2020★ 12 cited

Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration

Jianhao Jiao, Haoyang Ye, Yilong Zhu +1

Combining multiple LiDARs enables a robot to maximize its perceptual awareness of environments and obtain sufficient measurements, which is promising for simultaneous localization…

cs.RO2020★ 61 cited

The Role of the Hercules Autonomous Vehicle During the COVID-19 Pandemic: An Autonomous Logistic Vehicle for Contactless Goods Transportation

Tianyu Liu, Qinghai Liao, Lu Gan +28

Since early 2020, the coronavirus disease 2019 (COVID-19) has spread rapidly across the world. As at the date of writing this article, the disease has been globally reported in 223…

cs.RO2019

Road Curb Detection Using A Novel Tensor Voting Algorithm

Yilong Zhu, Dong Han, Bohuan Xue +4

Road curb detection is very important and necessary for autonomous driving because it can improve the safety and robustness of robot navigation in the outdoor environment. In this…

cs.RO2019★ 1 cited

Robust Lane Marking Detection Algorithm Using Drivable Area Segmentation and Extended SLT

Umar Ozgunalp, Rui Fan, Shanshan Cheng +7

In this paper, a robust lane detection algorithm is proposed, where the vertical road profile of the road is estimated using dynamic programming from the v-disparity map and, based…

cs.RO2019

Automatic Calibration of Dual-LiDARs Using Two Poles Stickered with Retro-Reflective Tape

Bohuan Xue, Jianhao Jiao, Yilong Zhu +4

Multi-LiDAR systems have been prevalently applied in modern autonomous vehicles to render a broad view of the environments. The rapid development of 5G wireless technologies has br…

cs.RO2019★ 1 cited

Autonomous UAV Landing System Based on Visual Navigation

Zhixin Wu, Peng Han, Ruiwen Yao +7

In this paper, we present an autonomous unmanned aerial vehicle (UAV) landing system based on visual navigation. We design the landmark as a topological pattern in order to enable…

cs.RO2019★ 2 cited

A Robust Pavement Mapping System Based on Normal-Constrained Stereo Visual Odometry

Huaiyang Huang, Rui Fan, Yilong Zhu +2

Pavement condition is crucial for civil infrastructure maintenance. This task usually requires efficient road damage localization, which can be accomplished by the visual odometry…

cs.RO2019★ 2 cited

Low-Cost GPS-Aided LiDAR State Estimation and Map Building

Linwei Zheng, Yilong Zhu, Bohuan Xue +2

Using different sensors in an autonomous vehicle (AV) can provide multiple constraints to optimize AV location estimation. In this paper, we present a low-cost GPS-assisted LiDAR s…

cs.RO2019★ 1 cited

Real-Time, Environmentally-Robust 3D LiDAR Localization

Yilong Zhu, Bohuan Xue, Linwei Zheng +3

Localization, or position fixing, is an important problem in robotics research. In this paper, we propose a novel approach for long-term localization in a changing environment usin…

cs.CV2019★ 4 cited

A Novel Dual-Lidar Calibration Algorithm Using Planar Surfaces

Jianhao Jiao, Qinghai Liao, Yilong Zhu +5

Multiple lidars are prevalently used on mobile vehicles for rendering a broad view to enhance the performance of localization and perception systems. However, precise calibration o…

cs.CV2019★ 17 cited

Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding

Rui Fan, Mohammud Junaid Bocus, Yilong Zhu +5

Crack is one of the most common road distresses which may pose road safety hazards. Generally, crack detection is performed by either certified inspectors or structural engineers.…